Dataset Versions
v4
2024-02-26 10:43am
Generated on Feb 26, 2024
374 Total Images
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Dataset Split
Train Set 80%
300Images
Valid Set 11%
42Images
Test Set 9%
32Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -22% and +22%
Exposure: Between -10% and +10%
Blur: Up to 1.5px
Noise: Up to 0.38% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -45° and +45°
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Blur: Up to 2.5px